Early Classification of Time Series is Meaningful
Not on the map. Why?
Abstract (arXiv)
Many approaches have been proposed for early classification of time series in light of its significance in a wide range of applications including healthcare, transportation and finance. However, recently a preprint saved on Arxiv claim that all research done for almost 20 years now on the Early Classification of Time Series is useless, or, at the very least, ill-oriented because severely lacking a strong ground. In this paper, we answer in detail the main issues and misunderstandings raised by the authors of the preprint, and propose directions to further expand the fields of application of early classification of time series.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 6 of its 32 references that are in the map. First posted on arXiv 27 Apr 2021.
Builds on
6 of 32 references.
References · 6
- 2019TEASER: Early and Accurate Time Series Classificationcited by 26
- 2019Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoringcited by 18
- 2018Alarm-Based Prescriptive Process Monitoringcited by 16
- 2021When is Early Classification of Time Series Meaningful?cited by 9
- 2019Early Classification for Agricultural Monitoring from Satellite Time Seriescited by 7
- 2016Earliness-Aware Deep Convolutional Networks for Early Time Series Classificationcited by 6
Built on by
Citing papers per year: 2022: 1; 2023: 1.
2 papers.